In this paper we propose a novel approach to palmprint recognition based on local Haralick
features. These features are calculated from the grey-level co-occurrence matrices created …

This project presents brain lesion segmentation of diffusion-weighted magnetic resonance
images (DWI) based on thresholding technique and gray level co-occurrence matrix …

One of the most important issues in fingerprint recognition is that the impressions of different
fingers may appear very similar to each other (high inter-class similarity) and likewise …

Conventional minutiae-based fingerprint recognition approaches consider only local
characteristics and their accuracy dramatically decreases as the number of available …

Partial fingerprints are likely to be fragmentary or low quality, which mandates the
development of accurate fingerprint verification algorithms. Two fingerprints should be …

This paper presents an automated segmentation of brain lesion from Diffusion-weighted
magnetic resonance images (DW-MRI or DWI) based on region and boundary information in …

This chapter formalizes the fingerprint matching problem, namely finding a similarity
between any given fingerprint pair. The requirements of the matching problem are high …

This paper describes a new implementation of a mixture of techniques not used before for
fingerprint recognition. The implementation consists of three stages: the location of the core …

We present a new model for circuits which have memory elements using conditional
clocking, This is termed asthe “gated” clock problem. Conventionally most of the recent …

Alignment of fingerprints is a fundamental step in the fingerprint recognition. Many
techniques have been proposed in the literature for aligning the fingerprints. One of the most …